Enterprise Architecture and Business Process Analysis

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https://hdl.handle.net/10125/60658

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    Factors Influencing Communication and Collaboration in Enterprise Architecture Development
    ( 2019-01-08) Banaeianjahromi, Negin ; Hekkala, Riitta
    Communication and collaboration in Enterprise Architecture (EA) development have always been challenging. This paper contributes to the field of EA by investigating the factors that influence communication and collaboration in EA development. Data was collected from 14 large organizations in various industries regarding their EA development. Adopting the grounded theory method, we identified 20 factors that influence communication and collaboration in EA development and further categorized them into social, technical, internal, and external factors. Moreover, we analyzed and theorized the relationships between the factors to realize how they influence each other. Analyzing five organizational documents, we provide recommendations to improve communication and collaboration in EA development.
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    A Privacy-driven Enterprise Architecture Meta-Model for Supporting Compliance with the General Data Protection Regulation
    ( 2019-01-08) Burmeister, Fabian ; Drews, Paul ; Schirmer, Ingrid
    The processing of personal data has evolved into an integral component of businesses by providing several data-driven opportunities. Simultaneously, businesses struggle with the associated responsibility for privacy, as recent data scandals have shown. As a consequence, the European Commission has passed the General Data Protection Regulation (GDPR) to enhance the rights of citizens and the requirements on data protection. This paper argues that enterprise architecture (EA) models can be a key to compliance with the GDPR. Following an incremental research approach, we categorize the major obligations resulting from the GDPR, derive essential stakeholder concerns and outline necessary EA elements for capturing aspects of analytics, security and privacy in EA models. On this basis, a privacy-driven EA meta-model is developed that is capable of answering key concerns resulting from the GDPR.
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    The Road to Success: Recommendations for the Design of Successful Business Process Modeling Initiatives
    ( 2019-01-08) Fischer, Marcus ; Imgrund, Florian ; Kolb, Julian ; Janiesch, Christian ; Rosenkranz, Christoph ; Winkelmann, Axel
    Process modeling is among the most important activities in the business process management lifecycle and enables enterprises to improve communication, coordination, and knowledge management. However, enterprises frequently face challenges when introducing process modeling to their organization. These range from a lack of strategic alignment to insufficient stakeholder participation leading to pitfalls, such as project failure or outcomes that do not meet predefined expectations. Hence, we present findings from eight successful process modeling initiatives and consolidate them to a decision-support framework. The contribution of this research is twofold. First, our study suggests that the success of process modeling depends on contextual parameters, including top management involvement, tool support, and employee education. Second, the design of process modeling initiatives fundamentally changes with organizational objectives. Based on a clear set of goals, enterprises can choose from at least three success strategies that require a unique configuration and structure.
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